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Electoral Laws and Turnout: 1972-2008

Authors: Leighley, Jan; Nagler, Jonathan;

Electoral Laws and Turnout: 1972-2008

Abstract

In this paper we examine the impact of electoral laws on overall turnout, and class bias in the electorate. Using turnout in each state in each year we use cross sectional time series analysis to estimate the impact of electoral reforms on turnout, with particular attention to the discriminatory impact of legal changes on persons at different segments of the income distribution. This gives us much more powerful estimates of these effects than were previously available. We do not suffer from the problems of cross-sectional analyses which rely on the assumption that the choice of electoral regime is independent of the likelihood of voting. And by using all presidential elections from 1972 thru 2008 we have much more statistical power than has been provided by previous analyses simply looking at difference of means tests across two elections. We consider the impact of: the number of days prior to election day that registration closes; the availability of election day registration; the availability of no-excuse early voting, and the availability of no-fault absentee voting. We show the net effects of these reforms on the probability of individuals voting, and we calculate the effect on at-risk votes and show that more poorly educated voters are not necessarily those more likely to take advantage of electoral reforms.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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